Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ASTARLOA Igor | 61 |
| 2 | CELESTINO Mirko | 67 |
| 4 | POPOVYCH Yaroslav | 64 |
| 6 | TIRALONGO Paolo | 63 |
| 8 | MORI Massimiliano | 77 |
| 10 | MURN Uroš | 70 |
| 11 | MIZUROV Andrey | 68 |
| 12 | FERRARI Diego | 74 |
| 13 | MAGNANI Marco | 64 |